Latest

On the calendar

予定 · Conferences and launch events, this week's stories from each corner of the industry, and what its press is covering — in English

On view

This week, from that corner the newest stories from the corner of the industry you picked

The wire their own posts, translated

How code moves in 2026 from the industry's own reports

Sources

Fetched every three hours, linked to the original

About

Accept All is a magazine, a radar and a diary about artificial intelligence and the craft of code — read from Tokyo, for people who build.

The name is the button. Code is written by agents now and reviewed by a human thumb that hovers over Accept all a hundred times a day; the whole question of this decade is what, exactly, you just accepted. So we read the diff. A magazine, because every week one model, one tool or one idea is worth reading about slowly. A radar, because we count what the labs, the Valley, GitHub and the chip makers are talking about — releases, agents, open weights, compute, funding, rules — and show it as it moves. A diary, because a seal is set each day in that day's colour, and the days add up.

We read the research labs' own posts, the American and European tech press, the Japanese and Chinese developer sites and the newsletters people actually forward, and bring it together in English and Japanese. Everything here links back to the people who wrote it; the images belong to their authors.

Accept All will keep changing. New sources, new signals, new ways of looking — a little better each week, never finished. If something here made you open a terminal, that is enough.

Thank you for reading. ありがとうございます。

← Accept All Archive

IEEE Spectrum AISilicon

Inside the Data Bottleneck Slowing Visual and Physical AI

August 12

A survey of over 700 professionals examines how visual and physical AI teams build systems, why models fail, and where data work drives production. Download this free whitepaper now!

Research Robotics & physical AI Type-whitepaper Artificial-intelligence Computer-models Data-bottleneck

Read at IEEE Spectrum AI ↗

Latest

Inside the Data Bottleneck Slowing Visual and Physical AI

Related

ValleyWhy Robotics Still Isn't Solved - But Could Be Soon | YC Paper Club Y Combinator (YouTube)

ValleyChelsea Finn: This is the State of the Art in Robotics Y Combinator (YouTube)

SiliconWhy AI Needs a “Genie Coefficient” IEEE Spectrum AI

SiliconOptical Tech Would Update a Robot’s AI on the Fly IEEE Spectrum AI

SiliconWhy AI-Driven Cognitive Systems Are Redefining Radar and Electronic Warfare IEEE Spectrum AI

SiliconAI Is Hyper-Scaling Digital Inequality IEEE Spectrum AI